R. Jeffrey Chang

81 papers receiving 3.9k citations

Peers

R. Jeffrey Chang
Comparison fields: 5 of 113
  • Reproductive Medicine 3.0k
  • Public Health, Environmental and Occupational Health 2.4k
  • Endocrinology, Diabetes and Metabolism 899
  • Molecular Biology 727
  • Genetics 256
Replace Raffaella Fabbri with:
Raffaella Fabbri Italy
Debbie Willis United Kingdom
Stephen Franks United Kingdom
Randall B. Barnes United States
Helen Mason United Kingdom
Sophie Catteau-Jonard France
Nicholas A. Cataldo United States
D. W. POLSON United Kingdom
Ricardo Pimenta Bertolla Brazil
Teresa Sir‐Petermann Chile
R. Jeffrey Chang relative to Raffaella Fabbri Italy Raffaella Fabbri's profile →
Citations per field
00.5×1.5×2.2×
Raffaella Fabbri · 1×
Citations per year

Countries citing papers authored by R. Jeffrey Chang

Since Specialization
Citations

This map shows the geographic impact of R. Jeffrey Chang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by R. Jeffrey Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Jeffrey Chang more than expected).

Fields of papers citing papers by R. Jeffrey Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Jeffrey Chang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by R. Jeffrey Chang. The network helps show where R. Jeffrey Chang may publish in the future.

Co-authorship network of co-authors of R. Jeffrey Chang

This figure shows the co-authorship network connecting the top 25 collaborators of R. Jeffrey Chang. A scholar is included among the top collaborators of R. Jeffrey Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R. Jeffrey Chang. R. Jeffrey Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 98
2 22
3 13
4 1
5 49
6 47
7 362
8 53
9 24
10 13
11 187
12 35
13 30
14 62
15 37
16 133
17 130
18 39
19 11
20
Effect of dexamethasone on serum cortisol and androgen levels in hirsute patients.
64

About R. Jeffrey Chang

R. Jeffrey Chang is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 81 papers that have together received 4.0k indexed citations. Recurring topics across this work include Ovarian function and disorders (65 papers), Reproductive Biology and Fertility (54 papers) and Ovarian cancer diagnosis and treatment (15 papers). The work is most often cited by research in Reproductive Medicine (3.0k citations), Public Health, Environmental and Occupational Health (2.4k citations) and Endocrinology, Diabetes and Metabolism (899 citations). R. Jeffrey Chang has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include Gregory F. Erickson, Johanna S. Archer, John C. Marshall, Richard Y. Yoo, Pamela J. Malcom, Mickey S. Coffler, Rogerio A. Løbo, Robert L. Rosenfield, Kathryn A. Martin and Christopher R. McCartney. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Endocrine Reviews.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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